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Sessions & Content

Data warehouse designers often ignore the specific needs of an OLAP database. In this session, John will outline the best ways to optimise your relational database to support your multidimensional OLAP cubes

This session will show you how the query optimizer has been updated to work with the new SQL Server 2014 features and to provide better performance to existing ones. Topics include Hekaton, the new cardinality estimator and incremental statistics.

In this humorous session I’ll be contesting many of the so called "best practices" in SQL Server and demonstrating counter arguments. Come along to see how so called "pillars" of design are starting to break down.

This session will discuss the recommended approaches and best practices for partitioning and scaling Windows Azure SQL Database, allowing you to fully leverage the managed relational database service and take advantage of massive scale-out scenarios.

Processing of SSAS OLAP databases can be a tricky business, particularly when it comes to incremental processing of dimensions. John will give you real life examples of why certain approaches work and others do not.

“Just use partitioning” is the answer you hear, when you need to manage very large data sets in your Data Warehouse. But how do you design and implement it? We will walk through different ways to design partitioning, including layered partitioning.

In this session, we are going to explain and test different DW features in SQL Server 2012, including star join optimization through bitmap filters, table partitioning, window functions, columnstore indices and more.